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AI & ML Engineer

SandstoneLegal Workflow company
New York, United StatesSenior
Lightspeed Venture Partners logo
Lightspeed Venture Partners
Sequoia Capital logo
Sequoia Capital
Mantis VC
SV Angel logo
SV Angel
Operator Partners
Kearny Jackson
Data & AI

About the role

TL;DR

Build production AI systems for legal workflows, focusing on LLM-powered applications.

  • Sandstone is building the AI-native operating system for in-house legal teams.
  • As an AI & ML Engineer, you will build the systems that make that possible: agents that reason over contracts and business context, retrieval systems that surface the right precedent, document understanding pipelines that turn legal work into structured intelligence, and evals that help us measure and improve quality.
  • Key Responsibilities Build production AI systems for legal workflows such as contract review, redlining, legal intake, drafting, negotiation, search, and knowledge management Improve retrieval and context systems that reason over contracts, playbooks, precedent, customer data, and business context Build document parsing and understanding pipelines that extract structure, entities, obligations, issues, and negotiation context from complex legal documents Requirements 4+ years of experience as an AI engineer, ML engineer, full-stack engineer, product engineer, data scientist, or similar role Experience shipping applied AI or LLM-powered products, especially involving retrieval, agents, evals, document understanding, structured extraction, or workflow orchestration Strong software engineering fundamentals and comfort working across backend systems, data pipelines, APIs, and product-facing surfaces
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Required skills

PythonLLMsLangChainNLPDockerKubernetesCI/CDGitLinux

Domain expertise

legaltechaiproductivity

Benefits & perks

Comprehensive health, dental, and vision insurance, 401K, 12 weeks paid parental leave, Flexible time off (20+ days PTO), Annual learning & development stipend, Technology stipend, including unlimited spend on AI tooling, Daily lunch for in-office team members

Tech stack

PythonJavaScriptTypeScriptSQLBashReactNode.jsDjangoFlaskFastAPIPandasNumPySparkAirflowTensorFlowPyTorchscikit-learnKerasOpenAI APIAnthropic APIGemini APILangChainHugging FaceNLPLLMsMLflowKubeflowSageMakerVertex AIPostgreSQL

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